Result on resnet classif benchmark

• platform: Linux4.18.0-305.40.2.el8_4.x86_64-x86_64
• processor: Intel(R) Xeon(R) Gold 6248 CPU @ 2.50GHz
• numpy: 1.21.2 blas=mkl_rt lapack=mkl_rt
• scipy: 1.7.1

Dataset: CIFAR[framework=pytorch] CIFAR[framework=tensorflow]

Objective: ConvNet classification fitting[model_size=18,model_type=resnet] train_loss train_acc test_loss test_acc value

Chart type: objective curve suboptimality curve relative suboptimality curve bar chart semilog-y semilog-x loglog linear

Quantiles:

Solvers (Click on a solver to hide it or double click to hide all the others)